779 search results - page 55 / 156 » Multi-Instance Dimensionality Reduction |
124
Voted
ICONIP
2007
15 years 3 months ago
2007
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
AAAI
2008
15 years 4 months ago
2008
We are interested in the problem of reasoning over very large common sense knowledge bases. When such a knowledge base contains noisy and subjective data, it is important to have ...
101
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
In this paper, we propose a unified algorithmic framework for solving many known variants of MDS. Our algorithm is a simple iterative scheme with guaranteed convergence, and is mo...
126
Voted
ICANN
2010
Springer
15 years 2 months ago
2010
Springer
Deep autoencoder networks have successfully been applied in unsupervised dimension reduction. The autoencoder has a "bottleneck" middle layer of only a few hidden units, ...
ISQED
2007
IEEE
15 years 8 months ago
2007
IEEE
This paper studies multi-dimensional optimization at both circuit and micro-architecture levels. By formulating and solving the optimization problem with conflicting design objec...